Every day, your immune system eliminates potentially cancerous cells before they can form tumors.
Here’s exactly how cytotoxic T cells (killer T cells) detect abnormal cells via MHC-I and destroy them with perforin + granzymes.
This is the natural process that checkpoint inhibitors supercharge.
Immunophenotyping: How scientists identify exact immune cell populations using CD markers (CD4, CD8, CD19, CD56).
The natural next step after Flow Cytometry. Critical for cancer diagnosis, inflammation tracking, and immunotherapy decisions.
Scientists can analyze thousands of individual immune cells per second using lasers and fluorescence.
This is Flow Cytometry, the gold standard for mapping immune populations in cancer, inflammation, and immunotherapy research.
ELISA explained: How scientists detect and quantify specific proteins using antibodies and enzyme reactions.
A fundamental technique in diagnostics, immunology, and biotech research.
#ELISA#Immunology#MolecularBiology
Strongly agree on the data side, AI is already crushing literature review, hypothesis generation, study design, predictions, and even SOP writing.
Where I see the biggest remaining bottleneck is still the wet lab reality: reliable in-vitro models, complex cell systems, and especially in-vivo work (dosing, behavioral assays, unexpected biological variability, toxicology, etc.).
Even the best simulation or AI-generated hypothesis still needs to be validated in real biological systems. Better humanized mouse models and advanced organoids will help, but we’re still a long way from fully replacing skilled experimentalists who can adapt to messy biology, health assessments/complications, animal welfare, compliance in real time.
AI is an incredible force multiplier. The winning teams will be those who combine strong AI tools with excellent wet-lab execution.
@josiezayner PhD sells, if you are selling a service or want to get funded, a company with a team full of mostly PhD is more attractive for investors then a company that have BS and MDs. Even if the later are more experienced and more talented.
From what we know, phenomena like dark matter, dark energy, black holes, and the sheer scale of the cosmos may be beyond humanity’s full understanding. Even with technologies like the Hubble and James Webb telescopes, we still haven’t explored beyond our own solar system. The universe is so vast that we may only ever observe, theorize, and admire it from afar.
Insulin signaling explained: How this hormone tells cells to absorb glucose via GLUT4 transporters.
Paired with GLP-1, it’s the body’s smart system for blood sugar control.
#Insulin#GLP1#MolecularBiology
GLP-1 is a signaling hormone involved in appetite regulation, insulin release, and glucose control.
Modern drugs like Ozempic mimic GLP-1 pathways to improve metabolic regulation and blood sugar balance.
#GLP1#Ozempic#Metabolism#MolecularBiology
@DrSamuelBHume This is genuinely impressive. The speed of generation is evolving insanely fast.
The difficult part now is making the science accurate,
visually coherent, and educational within short-form attention spans.
DNA stores the instructions.
RNA carries the message.
Proteins perform the function.
The central dogma of molecular biology explains how genetic information flows through the cell via transcription and translation.
#MolecularBiology#DNA#RNA#ProteinSynthesis
@exosome As someone who worked in the fields, AI can not run most In-Vivo and In-Vitro procedures, and complex behavioral assays. This is greatly exaggerated.
DNA translation is the process where ribosomes decode messenger RNA and assemble amino acids into proteins, forming the molecular machinery required for cellular life.
#MolecularBiology#ProteinSynthesis#GeneExpression
Visual breakdown of protein synthesis and ribosomal translation:
DNA transcription is the process where RNA polymerase copies genetic information from DNA into messenger RNA, initiating gene expression inside the cell.
#MolecularBiology#GeneExpression#RNA
Visual breakdown of transcription and RNA synthesis:
@ShadowofEzra This sounds interesting, but idk. It's not really them, and AI won't be able to capture the true self of a loss loved one. Having closure and moving on is an important step too, don't get stuck in the canvas.